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DBMS > Drizzle vs. Qdrant vs. SingleStore

System Properties Comparison Drizzle vs. Qdrant vs. SingleStore

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonQdrant  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A high-performance vector database with neural network or semantic-based matchingMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelRelational DBMSVector DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#199  Overall
#6  Vector DBMS
Score5.98
Rank#68  Overall
#37  Relational DBMS
Websitegithub.com/­qdrant/­qdrant
qdrant.tech
www.singlestore.com
Technical documentationqdrant.tech/­documentationdocs.singlestore.com
DeveloperDrizzle project, originally started by Brian AkerQdrantSingleStore Inc.
Initial release200820212013
Current release7.2.4, September 20128.1, May 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2.0commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageC++RustC++, Go
Server operating systemsFreeBSD
Linux
OS X
Docker
Linux
macOS
Windows
Linux info64 bit version required
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesNumbers, Strings, Geo, Booleanyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoyes infobut no triggers and foreign keys
APIs and other access methodsJDBCgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesC
C++
Java
PHP
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes
Triggersno infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Collection-level replicationSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPKey-based authenticationFine grained access control via users, groups and roles
More information provided by the system vendor
DrizzleQdrantSingleStore infoformer name was MemSQL
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DrizzleQdrantSingleStore infoformer name was MemSQL
DB-Engines blog posts

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1 April 2015, Paul Andlinger

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Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
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Recent citations in the news

Exploring Qdrant: Navigating the World of Vector Databases
17 November 2023, Medium

Qdrant, an open source vector database startup, wants to help AI developers leverage unstructured data
19 April 2023, TechCrunch

The 5 Best Vector Databases You Must Try in 2024
17 November 2023, KDnuggets

Qdrant Raises $7.5M in Seed Funding
24 April 2023, FinSMEs

Qdrant Solutions Launches Managed Cloud Platform of Open-Source Vector Search Database.
8 February 2023, PR Newswire

provided by Google News

SingleStore to Launch Hybrid Vector and Full-Text Search Capabilities as a Snowflake Native App on the Snowflake ...
6 December 2023, Yahoo Finance

SingleStore Offers Fast Vector Processing for Real-Time AI
17 October 2023, The New Stack

SingleStore unveils features aimed at enabling real-time AI
17 October 2023, TechTarget

SingleStore Database Unifies Transactions, Analytics for Developers and Tech Experts
7 June 2023, Acceleration Economy

SingleStore Announces Several New Product Innovations to Unlock Future of Real-Time AI
17 October 2023, Business Wire

provided by Google News

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